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**ManTech** seeks a motivated, career and customer oriented **Senior Data Scientist** to join our team in **Ashburn, Virginia** . This position is onsite two days a week.

Each day U.S. Customs and Border Protection (CBP) oversees the massive flow of people, capital, and products that enter and depart the United States via air, land, sea, and cyberspace. The volume and complexity of both physical and virtual border crossings require the application of solutions to promote efficient trade and travel.

Responsibilities include but are not limited to:

+ Perform hands-on analysis and modeling involving the creation of intervention hypotheses and experiments, assessment of data needs and available sources, determination of optimal analytical approaches, performance of exploratory data analysis, and feature generation (e.g., identification, derivation, aggregation).

+ Collaborate with mission stakeholders to define, frame, and scope mission challenges where big data interventions may offer important mitigations and develop robust project plans with key milestones, detailed deliverables, robust work tracking protocols, and risk mitigation strategies.

+ Demonstrate proficiency in extracting, cleaning, and transforming CBP transactional and mission data associated within an identified problem space to build predictive models as well as develop appropriate supporting documentation.

+ Leverage knowledge of a variety of statistical and machine learning techniques and methods to define and develop programming algorithms; train, evaluate, and deploy predictive analytics models that directly inform mission decisions.

+ Execute projects including those intended to identify patterns and/or anomalies in large datasets; perform automated text/data classification and categorization as well as entity recognition, resolution and extraction; and named entity matching.

+ Brief project management, technical design, and outcomes to both technical and non-technical audiences including senior government stakeholders throughout the model development/ project lifecycle through written as well as in-person reporting.

Minimum Qualifications

+ HS Diploma/GED and 15-20 years or AA/AS and 13-18 years or BS/BA and 7-12 years or MS/MA/MBA and 5-9 years or PHD/Doctorate and 3-7 years.

+ Experience in developing machine learning models and applying advanced analytics solutions to solve complex business problems

+ Experience with programming languages including: SQL, R, Python, Scala, Java.

+ Experience constructing and executing queries to extract data in support of EDA and model development

+ Proficiency with statistical software packages including: SAS, SPSS Modeler, R, WEKA, or equivalent

+ Experience with pattern recognition and extraction, automated classification, and categorization

+ Experience with entity resolution (e.g., record linking, named-entity matching, deduplication/ disambiguation)

Preferred Qualifications:

+ Proficiency with Unsupervised Machine Learning methods including Cluster Analysis (e.g., K-means, K-nearest Neighbor, Hierarchical, Deep Belief Networks, Principal Component Analysis), Segmentation, etc.

+ Proficiency with Supervised Machine Learning methods including Decision Trees, Support Vector Machines, Logistic Regression, Random/Rotation Forests, Categorization/Classification, Neural Nets, Bayesian Networks, etc.

+ Experience with pattern recognition and extraction, automated classification, and categorization

+ Experience with entity resolution (e.g., record linking, named-entity matching, deduplication/ disambiguation)

+ Experience with visualization tools and techniques (e.g., Periscope, Business Objects, D3, ggplot, Tableau, SAS Visual Analytics, PowerBI)

+ Experience with big data technologies (e.g., Hadoop, HIVE, HDFS, HBase, MapReduce, Spark, Kafka, Sqoop)

+ Master’s Degree in mathematics, statistics, computer science/engineering, or other related technical fields with equivalent practical experience

Clearance Requirements:

+ Must be a US Citizen and able to obtain and maintain a U.S. Customs and Border Protection (CBP) suitability prior to starting this position

Physical Requirements:

+ Must be able to be in a stationary position more than 50% of the time.

+ Must be able to communicate, converse, and exchange information with peers and senior personnel.

+ Constantly operates a computer and other office productivity machinery, such as a computer.

ManTech International Corporation, as well as its subsidiaries proactively fulfills its role as an equal opportunity employer. We do not discriminate against any employee or applicant for employment. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.

If you are a qualified individual with a disability and require a reasonable accommodation to apply for a position with ManTech through its online applicant system, please email us at [email protected] and provide your name and contact information.